US9367108B2ActiveUtilityPatentIndex 81
Reduction of operational cost using energy storage management and demand response
Est. expiryJun 28, 2032(~6 yrs left)· nominal 20-yr term from priority
Y04S20/222Y02B70/3225H02J 2105/55H02J 7/865H02J 2105/10G06F 1/26Y04S20/224H02J 3/14H02J 2003/146H02J 3/32Y04S50/10
81
PatentIndex Score
15
Cited by
5
References
21
Claims
Abstract
A method for managing demand or load includes, upon receipt of a demand response signal or a load management request from a utility to change the price of electricity, determining the cost of energy from a local battery, and if the cost of energy from battery is higher than the cost of electricity from the utility, shedding power from one or more devices based on the utility price, and otherwise discharging power from the battery to reduce a net load on the grid without any actual load reduction.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1. A method for managing demand or load, comprising:
receiving input demand by a real-time power and load management controller; information including different generation power, storage state of charge, and end-user demand;
determining a discharge pattern of a storage used to estimate the battery lifetime and determining discharge event for the local battery as:
L
1
=
(
D
A
D
R
)
u
0
ⅇ
u
1
(
D
A
D
R
-
1
)
L
2
=
C
R
C
A
where parameters u 0 and u 1 are determined by fitting cycle life versus depth of discharge (DOD) data, D A is a depth of discharge of a discharge event, D R is a rated depth of discharge, C R is a rated capacity of a battery at rated discharge current, and C A is determined by applying a one dimensional cubic spline interpolation on finite pairs of data for battery capacities versus discharge currents;
upon receipt of a demand response signal or a load management request from a utility to change a price of electricity, determining a cost of energy from a local battery,
calculating a cost of energy from the battery based on a levelized cost model, wherein the cost of energy from the battery is then compared to the utility cost;
if the cost of energy from battery is higher than the cost of electricity from the utility, shedding power from one or more devices based on the utility cost, and
otherwise discharging power from the battery to reduce a net load on the grid without any actual load reduction.
2. The method of claim 1 , comprising applying a levelized cost model for a storage unit which provides the cost of energy from the battery to be compared with a grid price.
3. The method of claim 2 , comprising applying a storage life esitmator to determine when a storage unit is to be replaced based on a current discharge requirment.
4. The method of claim 2 , comprising applying economic parameters including inflation and interest rates, and dividing a net present cost of the storage unit over a project life-time to calculate a cost of energy from the battery.
5. The method of claim 2 , comprising applying a cost of energy from the battery with a grid price to make a decision on shedding the load or discharging the battery.
6. The method of claim 1 , comprising deciding in real-time if a load management procedure is done through an actual load reduction or a battery discharge.
7. The method of claim 1 , comprising determining a mismatch power in the microgrid as follows:
P mismatch =P DG +P scheduled-grid −P load
where P represents power.
8. The method of claim 1 , comprising performing load management without user interaction by specifying a percentage of a load shedding based on a grid price in advance.
9. The method of claim 1 , comprising determining a cost of energy from a battery in a secondary management unit that estimates a discharge current and DOD of the battery if it is going to be used to meet the power shortage as follows:
I
discharge
*
=
P
mismatch
/
V
battery
DOD
*
=
abs
(
I
discharge
*
×
t
discharge
C
R
)
wherein P represents power, V represents voltage, I represents current, and DOD represents an estimated depth of discharge.
10. The method of claim 1 , comprising applying demand response management without the user interaction by specifying a percentage of a load shedding based on a grid price in advance.
11. The method of claim 1 , comprising:
detecting an unbalance in a supply and a demand based on a measured distributed generation (DG) output and a load demand; and
if a DG generation of power is more than the demand and an energy storage unit is not fully charged, applying the excess energy generation to charge a storage unit.
12. A system for energy management, comprising:
an energy storage unit;
a computer coupled to a distributed generator (DG) and a grid;
a primary management unit for detecting an unbalance in a supply and a demand based on a measured distributed generation output and a load demand;
computer code for receiving input demand by a real-time power and load management controller; information including different generation power, storage state of charge, and end-user demand;
computer code for determining a discharge pattern of a storage used to estimate the battery lifetime and determining discharge event for the local battery as:
L
1
=
(
D
A
D
R
)
u
0
ⅇ
u
1
(
D
A
D
R
-
1
)
L
2
=
C
R
C
A
where parameters u 0 and u 1 are determined by fitting cycle life versus depth of discharge (DOD) data, D A is a depth of discharge of a discharge event, D R is a rated depth of discharge, C R is a rated capacity of a battery at rated discharge current, and C A is determined by applying a one dimensional cubic spline interpolation on finite pairs of data for battery capacities versus discharge currents; and
a secondary management unit for managing energy, including:
computer code for applying excess energy generation to charge the storage unit if a DG generation of power is more than the demand and an energy storage unit is not fully charged; and
computer code for applying a secondary management scheme to a power shortage either by discharging the battery or by buying power from a grid or by actual load reduction if the DG generation is less than the load demand.
13. The system of claim 12 , comprising computer code for applying a levelized cost model for the storage unit which provides the cost of energy from the battery to be compared with a grid price.
14. The system of claim 13 , comprising computer code for applying a storage life esitmator to determine when a storage unit is to be replaced based on a current discharge requirment.
15. The system of claim 13 , comprising computer code for applying economic parameters including inflation and interest rates, and dividing a net present cost of the storage unit over a project life-time to calculate a cost of energy from the battery.
16. The system of claim 12 , comprising computer code for applying a cost of energy from the battery with a grid price to make a decision on using the grid or discharging the battery.
17. The system of claim 12 , comprising computer code for deciding in real-time if a demand response execution (load shedding) results in cost saving.
18. The system of claim 12 , comprising computer code for determining a mismatch power in the microgrid as follows:
P mismatch =P DG +P scheduled-grid −P load
where P represents power.
19. The system of claim 12 , comprising computer code for performing load management without user interaction by specifying a percentage of the load shedding based on a grid price in advance.
20. The system of claim 12 , comprising computer code fordetermining a cost of energy from a battery in a secondary management unit that estimates a discharge current and DOD of the battery if it is going to be used to meet the power shortage as follows:
I
discharge
*
=
P
mismatch
/
V
battery
DOD
*
=
abs
(
I
discharge
*
×
t
discharge
C
R
)
wherein P represents power, V represents voltage, I represents current, and DOD represents an estimated depth of discharge.
21. The system of claim 12 , comprising computer code for applying demand response management without the user interaction by specifying a percentage of a load shedding based on a grid price in advance.Cited by (0)
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